Data Scientist – AI Integration

3 weeks ago

Singapore Razer USA Ltd. Full time

Senior Data Scientist – AI Integration

Job Details

Location: Singapore | Type: Full-time | Posted: 30+ Days Ago | Requisition ID: JR

Join Razer and be part of a global mission to revolutionize gaming. Razer offers a dynamic, gamer-centric environment that fosters both personal and professional growth.

Job Responsibilities

This role within the AI Integration Pod focuses on evaluating, integrating, and scaling third-party AI tools into Razer's internal AI infrastructure. The candidate will build scalable systems that connect external AI solutions with internal platforms to enable real-time gaming and platform experiences.

The ideal candidate is a technically proficient generalist with strong applied AI/ML knowledge, experience with external AI APIs (e.g., GenAI, vision, speech), and the ability to implement AI solutions into production systems. Collaboration with AI Software Engineers, Data Scientists, and DevOps engineers is essential.

Responsibilities include:
  • Develop and maintain tools and pipelines for integrating external AI services (LLMs, speech, vision, agents)
  • Create lightweight in-house AI/ML models to complement third-party tools
  • Prototype and evaluate external AI solutions focusing on integration, architecture, and system performance
  • Perform benchmarking and validation of APIs and platforms
  • Work with engineering and DevOps teams to ensure secure, scalable deployments
  • Stay updated with the latest AI SDKs, APIs, and deployment strategies
Pre-Requisites

Technical Skills:

  • At least 3 years of hands-on experience in AI/ML or AI systems engineering
  • Proficiency in Python, API design, data structures, and modular coding
  • Experience with LLM APIs (OpenAI, Claude, Gemini), AI SDKs, and frameworks like LangChain, Hugging Face, RAG
  • Experience integrating AI APIs with attention to latency and reliability
  • Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps workflows

Preferred Qualifications:

  • Knowledge of vector databases, prompt engineering, or agent architectures
  • Strong debugging, testing, and validation skills for AI in production
  • Effective communication of technical decisions
  • Interest in gaming and AI-enhanced user experiences
  • Ability to work in fast-paced, agile environments

Education & Experience:

  • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related fields

Are you game?

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